Triple

T2937504
Position Surface form Disambiguated ID Type / Status
Subject Damascus Governorate E79301 entity
Predicate hasISO3166-2Code P208 FINISHED
Object SY-DI
SY-DI is the ISO 3166-2 subdivision code assigned to Syria’s Damascus Governorate for international administrative and data purposes.
 E312079 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SY-DI | Statement: [Damascus Governorate, hasISO3166-2Code, SY-DI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SY-DI
Context triple: [Damascus Governorate, hasISO3166-2Code, SY-DI]
  • A. SYR
    SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
  • B. SYP
    SYP is the ISO 4217 currency code for the Syrian pound, the official monetary unit of Syria.
  • C. SYK
    SYK is the stock ticker symbol for Stryker Corporation, a major U.S.-based medical technology company specializing in surgical equipment, orthopedics, and related healthcare products.
  • D. YSB
    YSB is the IATA airport code for Greater Sudbury Airport in Ontario, Canada.
  • E. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SY-DI
Triple: [Damascus Governorate, hasISO3166-2Code, SY-DI]
Generated description
SY-DI is the ISO 3166-2 subdivision code assigned to Syria’s Damascus Governorate for international administrative and data purposes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SY-DI
Target entity description: SY-DI is the ISO 3166-2 subdivision code assigned to Syria’s Damascus Governorate for international administrative and data purposes.
  • A. SYR
    SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
  • B. SYP
    SYP is the ISO 4217 currency code for the Syrian pound, the official monetary unit of Syria.
  • C. SYK
    SYK is the stock ticker symbol for Stryker Corporation, a major U.S.-based medical technology company specializing in surgical equipment, orthopedics, and related healthcare products.
  • D. YSB
    YSB is the IATA airport code for Greater Sudbury Airport in Ontario, Canada.
  • E. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983f91c48190b409d8f522cab08b completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b086837ddc8190af27c7facd629691 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d15ec81c81909c22e265dd0263df completed March 11, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b0d524994c8190b8b6ff05eee8696a completed March 11, 2026, 2:36 a.m.
Created at: March 8, 2026, 2:56 p.m.